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OrangeCrab is an Open Source Hardware, Feather-Compatible Lattice ECP5 FPGA Board

Lattice ECP5 FPGA powered OrangeCrab is the work of Greg Davill who designed the Adafruit Feather-compatible board in KiCAD, crowdsourced schematics/PCB checking and published his progress on Twitter, and published the files  of the open source hardware board on Github. OrangeCrab board hardware specifications: FPGA – Lattice ECP5 25/45/85 variants System Memory – Up  to 8Gbit DDR3 Memory (x16) Storage – 128Mbit QSPI FLASH Memory (Bitstream + User storage), 4-bit MicroSD socket USB – Micro USB connector, full-speed direct USB connection to FPGA Programming – 10-pin FPGA programming header Expansion – I/O’s broken out via 30 through holes: GPIO, SPI, I2C, Analog, … 7x diff pairs, 1x single ended only Misc – Reset Button, charge LED (Green:  external power, Yellow: when charging, No color: when running off battery), 48MHz Oscillator Power Supply – 5V via USB port, battery header for LiPo battery + battery charger chip Dimensions – Adafruit Feather […]

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Getting Started with Sipeed M1 based Maixduino Board & Grove AI HAT for Raspberry Pi

Last year we discovered Kendryte K210 processor with a RISC-V core and featuring AI accelerators for machine vision and machine hearing. Soon after,  Sipeed M1 module was launched with the processor for aroud $10. Then this year we started to get more convenient development board featuring Sipeed M1 module such as Maixduino or Grove AI Hat. Seeed Studio sent me the last two boards for review. So I’ll start by showing the items I received, before showing how to get started with MicroPython and Arduino code. Note that I’ll be using Ubuntu 18.04, but development in Windows is also possible. Unboxing I received two packages with a Maixduino kit, and the other “Grove AI HAT for Edge Computing”. Grove AI HAT for Edge Computing Let’s start with the second. The board is a Raspberry Pi HAT with Sipeed M1 module, a 40-pin Raspberry Pi header, 6 grove connectors, as well […]

Khadas Edge2 Arm mini PC
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M5Stack M5StickV is a Tiny AI Camera for Maker Projects

I’ve just started to play with Maixduino board based on ESP32 WiSoC and Sipeed M1 module that enables AI tasks such as object detection thanks to built-in AI accelerators found in Kendryte K210 RISC-V processor and noticed references to M5Stack M5StickV in firmware file names. Somehow I never wrote about M5Stack, but the company provides modular ESP32 IoT development boards that can be stacked with various modules to easily and quickly build prototypes. M5StickV is one of those modules and is similar to Maixduino kit with camera and display, minus WiFi + Bluetooth connectivity, except that everything nicely packed into a cute module. M5StickV hardware specifications: SoC – Kendryte K210 dual-core 64-bit RISC-V processor @ 400MHz with dual independent double-precision FPU, 8MB on-chip SRAM, Neural Network Processor (KPU) @ 0.8Tops, Field-Programmable IO Array (FPIOA), and more Storage – 16MB flash, microSD card slot Display -1.14″ SPI display with 240×135 resolution […]

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Embedded Linux Conference (ELC) Europe 2019 Schedule – October 28-30

I may have just written about Linaro Connect San Diego 2019 schedule, but there’s another interesting event that will also take place this fall: the Embedded Linux Conference Europe on  October 28 -30, 2019 in Lyon, France. The full schedule was also published by the Linux Foundation a few days ago, so I’ll create a virtual schedule to see what interesting topics will be addressed during the 3-day event. Monday, October 28 11:30 – 12:05 – Debian and Yocto Project-Based Long-Term Maintenance Approaches for Embedded Products by Kazuhiro Hayashi, Toshiba & Jan Kiszka, Siemens AG In industrial products, 10+ years maintenance is required, including security fixes, reproducible builds, and continuous system updates. Selecting appropriate base systems and tools is necessary for efficient product development. Debian has been applied to industrial products because of its stability, long-term supports, and powerful tools for packages development. The CIP Project, which provides scalable and […]

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BFQ (Budget Fair Queuing) I/O Scheduler Improves Linux Systems Responsiveness (Video)

Storage is normally the slowest part of a system, and operating systems such as Linux try to limit I/O access with “tricks” like caching. The I/O scheduler may also matter if you have multiple programs accessing the same drive, and in Linux 4.12 implemented two new multi-queue block I/O schedulers, namely BFQ (Budget Fair Queuing) and Kyber that are meant to improve the performance of the systems. If you’re using Linux 5.2 you may even get further improvements since performance tweaks make application start-up times under load to be up to 80% faster. I have never seen BFQ in action so far, but earlier this year, Paolo Valente, who is working for Linaro, made a video with an Acer Chromebook 15 showing Google Chrome launch time using the default mq-deadline schedule, and bfq-mq scheduler. The test involves writing a 1.5GB file to the drive with dd, and clicking on the […]

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Rock Pi 4 SBC Runs GNOME & KDE Plasma using Panfrost Open Source GPU Driver & Wayland

One of the highlights of Linux 5.2 release was support for two new Arm Mali GPU open-source drivers, namely Lima for Mali-4xx GPU, and Panfrost for the Midgard Mali-T6xx/7xx/8xx series, and the more recent Bifrost Mali-Gxx GPUs. Collabora worked on the release and was donated a few Rock Pi 4 boards from Radxa directly to work on the project. For those who are not familiar, Rock Pi 4 board is powered by a Rockchip RK3399 processor with a Mali-T860MP4 GPU that is supported by Panfrost open source GPU driver. The company managed to have Debian 10 Buster running on Rock Pi 4 using 3D graphics acceleration thanks to Panfrost drivers on both GNOME and KDE Plasma desktop environment, as well as Weston Wayland compositer. The good news is that you can build Rock Pi 4 images by yourself using Debos with the following commands:

Alternatively, you could directly download […]

Intel Arc Graphics Technology
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A Compact Machine Learning Accelerator HAT for your Raspberry Pi

AI for the Edge has been a promising playing field where several players are pushing for. Cloud computing has made it possible to train complex machine learning models for various application, although this seems to be working fine, the performance or the possibility of deploying AI applications on the Edge is enormous. AI on the Edge is expected to help reduces the latency involved in the roundtrip to the cloud, saves the bandwidth and cloud storage costs for enterprises, deploy ML models faster, and build robust, intelligent applications. Generally, Edge devices like the Raspberry Pi, Arduinos, and other embedded boards usually can’t run powerful AI applications. They have limited resources and computing power. Fortunately, this is changing with the introduction of AI Accelerators; modern processors that help assist the edge devices by taking over the complex mathematical calculations needed for running AI models. One of such AI accelerator processor is […]

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Intel Agilex SoC FPGA Features Four Arm Cortex-A53 Cores

Intel announced their new Agilex FPGA family manufactured with a  10nm process earlier this April, but it only caught my eyes recently when I saw “Agilex SoC FPGA” listed in Linux 5.2 Arm’s changelog. The Intel SoC FPGA is there simply because it comes with four Arm Cortex-A53 cores. Three family have been announced so far, although the later is shown as coming soon: Intel Agilex F-Series FPGAs and SoCs – Transceiver support up to 58 Gbps, increased DSP capabilities, high system integration, and 2nd Gen Intel Hyperflex architecture for a wide range of applications in Data Center, Networking, and Edge. Option to integrate the quad-core Arm Cortex-A53 processor. Intel Agilex I-Series SoC FPGAs – Optimized for high performance processor interface and bandwidth intensive applications. Coherent attach to Intel Xeon processors with Compute Express Link, hardened PCIe Gen 5 support and transceiver support up to 112 Gbps. Intel Agilex M-Series […]

Khadas VIM4 SBC